小站会根据您的关注,为您发现更多,

看到喜欢的小站就马上关注吧!

下一站,你会遇见谁的梦想?

小站头像

分布式计算

RSS 归档

站长

83人关注
2012 / . 05 / . 01

2012年第三届BOINC五项挑战赛

点击 直播贴   
 

第一个比赛项目为rosetta  比赛时间是北京时间5月5日8:00AM到10日8:00AM
第二个比赛项目是Collatz Conjecture 比赛时间是北京时间5月7日8:00AM到12日8:00AM  


比赛方式:1,在知道竞赛项目之后可以提前计算(不过要注意上传期限),然后在该项目竞赛开始时上传结果。2,在正常的比赛时间内获得wu计算并上传
参赛请在各个项目的官网中加入Team China团队,不然积分是无法纳入Team China的积分中的。关于加入团队,先进入各个项目的官方网站,输入用户名密码进入自己的帐号。在团队(Team)中搜索Team China。然后点击加入即可。(如果没有登录的话是无法看到加入的选项的)

Team China投票项目为PG,QMC,Rosetta,WCG以及ABC

五项挑战赛相关链接汇总:
2010年首届五项挑战赛介绍(论坛):http://www.equn.com/wiki/BOINC_Pentathlon
2010年首届五项挑战赛介绍wiki(官方):http://www.seti-germany.de/wiki/BOINC-Pentathlon_2010
2011年第二届五项挑战赛介绍wiki(官方):http://www.seti-germany.de/wiki/BOINC-Pentathlon_2011
2012年第三届五项挑战赛介绍wiki(官方):http://www.seti-germany.de/wiki/BOINC-Pentathlon_2012

2010年首届五项挑战赛结果:http://www.equn.com/forum/thread-27298-1-4.html     Team China总分第13名
2011年第二届五项挑战赛结果:http://www.equn.com/forum/thread-31238-1-1.html     Team China总分第8名

2012 / . 04 / . 18

Computing for Sustainable Water

项目状态和成果:  
Information about this project is provided on the web pages below and by the project scientists on the Computing for Sustainable Water website. If you have comments or questions about this project, please visit the Computing for Sustainable Water forum.

Mission
The mission of the Computing for Sustainable Water project is to study the effects of human activity on a large watershed and gain deeper insights into what actions can lead to restoration, health and sustainability of this important water resource. The extensive computing power of World Community Grid will be used to perform millions of computer simulations to better understand the effects that result from a variety of human activity patterns in the Chesapeake Bay area. The researchers hope to be able to apply what is learned from this project across the globe to other regions which face challenges of sustainable water.

Significance
Water is the most abundant resource on Earth, yet the world faces many challenging water-related problems. Among them is the management of its freshwater resources. More than 1.2 billion people lack access to clean, safe water. This problem is becoming more critical in the world as the proportion of people living in dense urban environments rises. The resulting demands for water contend with increasing human activities which degrade the quality of available water. A complex set of interrelated forces makes the problem difficult to address, much less to solve effectively via coordinated policy.

Approach
The University of Virginia developed a participatory simulation model of the Chesapeake Bay, the UVa Bay Game® (www.virginia.edu/baygame), incorporating natural elements and human activity using game players representing crop farmers, land developers, watermen, and assorted regulators. The UVa Bay Game has been successful in providing a learning platform for conveying the issues of complex watershed behavior and management. But to better understand the complex natural and human dynamics at work in this complex system, a much more detailed simulation model was developed to run on World Community Grid. Each of many millions of computer simulations, using unique combinations of a wide variety of assumptions about the natural and human actions at play, will calculate the resulting effects on the watershed. Exploring these many results, the researchers expect to develop insight into how these assumptions affect the overall health of the Chesapeake Bay. With these insights, the researchers will be able to better inform policy makers and suggest how prudent actions can lead to water restoration and sustainability. The ultimate goal is to eventually apply this knowledge and the techniques learned with the Computing for Sustainable Water project to other watersheds around the world.

2012 / . 03 / . 13

网站正在恢复中

equn.com 被黑,站长紧急修复中,争取1-2天搞定,站友们请耐心等待~

EQUN.com is having some technical difficulties. Please come back later.
Estimated full recovery time: March 15 2am, Beijing time.

2011 / . 11 / . 15

[WCG 抗击疟疾新项目]GO Fight Against Malaria


    新项目开始了 大家加油!

Information about this project is provided on the web pages below. To comment or ask questions about this project, please submit a post in the GO Fight Against Malaria Forum.

Mission
The mission of the GO Fight Against Malaria project is to discover promising drug candidates that could be developed into new drugs that cure drug resistant forms of malaria. The computing power of World Community Grid will be used to perform computer simulations of the interactions between millions of chemical compounds and certain target proteins, to predict their ability to eliminate malaria. The best compounds will be tested and further developed into possible treatments for the disease.

Significance
Malaria is one of the three deadliest infectious diseases on earth and is caused by parasites that infect both humans and animals. Female mosquitoes spread the disease by biting infected hosts and passing the parasites to other hosts that they bite later. When these parasites replicate themselves in red blood cells (which the parasites use for food), the symptoms of malaria appear. Malaria initially causes fevers and headaches, and in severe cases it leads to comas or death. Plasmodium falciparum, the parasite that causes the deadliest form of malaria, kills more people than any other parasite on the planet. Over 3 billion people are at risk of being infected with malaria.

Although there are many approved drugs that are able to cure malarial infections, multi-drug-resistant mutant "superbugs" exist that are not eliminated by the current drugs. Because new mutant superbugs keep evolving and spreading throughout the world, discovering and developing new types of drugs that can cure infections by these multi-drug-resistant mutant strains of malaria is a significant global health priority.

Approach
Scientists at The Scripps Research Institute of La Jolla, California, U.S.A., will use IBM's World Community Grid to computationally evaluate millions of candidate compounds against different molecular drug targets from the malaria parasite. If these target molecules can be disabled, then patients infected with malaria can potentially be cured. The computations will estimate the ability of the candidate compounds to disable the particular target molecules needed by the malaria parasite to survive and multiply. Particular priority will be given to targets and candidate compounds which could attack the multi-drug-resistant mutant "superbug" strains of the malaria parasite. The power of World Community Grid can reduce to one (1) year what would take at least one hundred (100) years to complete using the resources normally available to the researchers at The Scripps Research Institute. The results computed on World Community Grid will be available in the public domain for all scientists to use and build upon in their research to develop drugs to fight malaria. 

更多查看  

X 人人网小程序,你的青春在这里